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Mayneord Phillips Summer Schools

 

Medical Image Processing, Visualisation and Analysis

Wednesday 14th

Scale-space theory During the first session we had what seemed like hundreds of equations thrown at us by Bart ter Haar Romeny (Utrecht) who was talking about scale-space theory. In spite of equation overload, it was an excellent talk. Much to my surprise, he was even able to apply some of his techniques to ultrasound my own area, However I had to disagree with his statement that his ultrasound example was a very noisy image perhaps Ive been working in ultra- sound for too long! The best example he showed was a very noisy fingerprint image, which after processing was beautifully clean with absolutely no degradation of the structure. Ive never seen anything as good in all the 15 years that Ive been involved with image processing.

Image registration

After a much needed shot of caffeine it was on to image registration, which had featured in about 50% of the participants introductory talks. It was a topic much in demand and the resident expert was Derek Hill (Kings College London). Lots of good stuff here and my knowledge of this important subject has increased dramatically. We have begun to bring 3D ultrasound into the multi-modality area and I am certainly a bit of a novice in this area, so I enjoyed this talk tremendously.

Visits:

fMRI: I went with 14 others to the functional MRI laboratory at the Radcliffe Hospital in Oxford. They have a 3T system which is used for various projects including mapping the response to various physical, auditory, olfactory and visual stimuli as well as studying conditions such as stroke, multiple sclerosis and dementia. It was a useful visit, although somewhat disappointing in that the presentations which we had were rather limited in scope. I had the impression that a few people had been persuaded to give a talk because there were visitors coming, rather than trying to give an overall flavour for the work which is done at the fMRI lab. Nevertheless as an MRI novice it was interesting.

Vision: The second group went to the medical vision laboratory at Oxford University at which all of the current PhD students described their work. The topics covered included ultrasound, mammography and angiography. All the projects had a strong emphasis on modelling the fundamental physics for the imaging modality under study. Thanks to Jonathan Marchini for this account.

OMT: The third visit was to Oxford Magnet Technology the self- proclaimed home of medical imaging. Put into context, O.M.T. supply a large percentage of the magnets used in MR scanners throughout the world. This was without reservation an excellent and thoroughly interesting tour and is exactly the type of event that reinforces the importance and value of the summer school to a mid-term PhD student such as myself.

The final event of the day was the 5-course dinner, which was a real treat. As one who usually eats a fairly simple diet, it was good to be spoiled I certainly wouldnt want to eat like this every day. There were times I felt a bit of an outsider, being the only participant directly involved in ultrasound. Perhaps I should regard that as being part of an elite group! Anyway it was good to increase my knowledge of other imaging modalities, hear about some generic image analysis techniques and make some new friends. It was a real mixed bag of people I guess the average age was under 30 (I pushed the average up), but this adds to the enjoyment. Its good to mix things up a bit; perhaps it doesnt happen often enough. My thanks of course go to the Royal Marsden for coming up with the cash. I believe it will be a very worthwhile investment. When can I go again?

David Bell

Taken from IPEM SCOPE 8(4) December 1999

Wednesday's Lecture Notes Online

Scale Space Theory for Multiscale Geometric Image Analysis(pdf 0.98 MB). Dr. Bart M ter Haar Romeny

Image Registration, Matching and Fusion. Dr. Derek Hill

A Blinded Evaluation & Comparison of Image Registration Methods(pdf 44.6kb) Prof. Mike Fitzpatrick

Thursday 15th
1999 Summer School

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